OGCIO Data Maturity Findings and Report

OGCIO Data Maturity Ireland Public Sector Reporting Findings

Overview

Document findings and produce a report for an Ireland OGCIO Data Maturity assessment: evidence, maturity levels, gap analysis, and recommendations aligned to the OGCIO framework and DAMA-DMBoK. The report aligns with the Step-by-Step Guide’s Analysis & Report phase: quantitative and qualitative analysis, mapping to 5 maturity levels, consensus on views, and actionable recommendations (and optional roadmap).

Getting Started

Add your assessment outputs to the project workspace (e.g. collated responses, evidence log), then activate the OGCIO Data Maturity Findings and Report skill. The agent will guide you through analysis, per-area findings, report structure, and recommendations.

Example Conversation

Below is an example of how a typical findings-report session unfolds. The agent uses the OGCIO analysis expectations and DAMA-DMBoK maturity levels.

You: We’ve run the OGCIO data maturity assessment (Governance, Quality, Security). We have workshop notes and survey results. Can you draft the findings report for leadership?
Agent: I’ll use the framework reference for the 5 maturity levels and report structure. I’ll analyse sentiment per area and map to Initial/Ad-hoc through to Optimised, then pull out strengths, gaps, and recommendations from the open-ended responses. I’ll add a short section on how we reconciled different views (e.g. workshop consensus). Where are the collated responses and notes in the workspace?
You: They’re in assessment/ — responses-summary.csv and workshop-notes.md.
Agent: I’ve loaded them. I’ll produce: context (goals, areas, maturity meaning), performance per area with evidence, overall maturity profile, gap analysis, and actionable recommendations. I’ll keep the executive summary to one page and put question-level detail in an appendix.

Sample Output Excerpt

Below is a representative excerpt from an OGCIO data maturity findings report.

Executive summary

This report sets out the findings of the [PSB] data maturity self-assessment across Data Governance, Data Quality, and Data Security (DAMA-DMBoK). Overall maturity is Managed (Level 2) with variation by area. Main gaps: documented data ownership, quality metrics, and access logging. Recommended priorities: assign data owners, define quality dimensions and targets, and implement access and audit logging. Findings will feed the data strategy roadmap.

Performance by area (excerpt)

DAMA-DMBoK area	Assessed maturity	Evidence / rationale
Data Governance	Managed (2)	Data policy in place; no formal data owner roles; mixed awareness. Sentiment avg 3.2; workshop highlighted need for clear ownership.
Data Quality	Initial (1)	No shared definition of “fit for use”; no systematic measurement. Sentiment avg 2.4; recurring theme: “we don’t know how good our data is”.
Data Security	Managed (2)	Access controls and backups in place; logging and audit trail partial. Sentiment avg 3.0; recommendations: full audit logging and regular access reviews.

Recommendations (excerpt)

Data Governance — Assign Data Owners and Data Stewards for key assets; publish RACI; add data management to induction and objectives.
Data Quality — Agree the six dimensions (complete, accurate, consistent, valid, unique, integrity); define targets for critical data; introduce quality checks at source.
Data Security — Implement full access and audit logging; schedule periodic access reviews; document retention and secure disposal.

Consensus: Maturity levels and priorities were agreed in the final workshop using the collated sentiment and qualitative themes.

Extension and validation

This skill does not include custom validation tools. Elaboration is guided by the workflow in the skill and the OGCIO/findings references (analysis approach, maturity levels, report structure). You can add extension tools later in extension.ts (e.g. to check that all assessed areas are covered and that recommendations are present) if you want automated validation.